论文标题
温室气体分析
Analysis of Greenhouse Gases
论文作者
论文摘要
气候变化是复杂的温室气体相互作用（GHG），海洋，陆地，冰和云的复杂系统。大型气候变化模型使用多台计算机并求解多个方程来预测未来的气候。这些方程可能包括对部分微分方程的简单多项式。由于土地和海洋的吸收机制，温室气体排放可能需要一段时间才能影响气候。 IPCC已发表了有关温室气体排放如何影响对流层的平均温度的报告，并且预测表明，到本世纪末，我们可以预期从0.8 c到5 C的温度升高到5C。在本文中，我使用线性回归（LM），二次回归和高斯进程回归（GPR（GPR）（GPR）每月对GHG数据进行了多年的播放，并且可以根据几年的范围进行量表。结果与IPCC报告非常相似。
Climate change is a result of a complex system of interactions of greenhouse gases (GHG), the ocean, land, ice, and clouds. Large climate change models use several computers and solve several equations to predict the future climate. The equations may include simple polynomials to partial differential equations. Because of the uptake mechanism of the land and ocean, greenhouse gas emissions can take a while to affect the climate. The IPCC has published reports on how greenhouse gas emissions may affect the average temperature of the troposphere and the predictions show that by the end of the century, we can expect a temperature increase from 0.8 C to 5 C. In this article, I use Linear Regression (LM), Quadratic Regression and Gaussian Process Regression (GPR) on monthly GHG data going back several years and try to predict the temperature anomalies based on extrapolation. The results are quite similar to the IPCC reports.
